View source: R/estimate_secondary.R
secondary_opts | R Documentation |
Returns a list of options defining the secondary model used in
estimate_secondary()
. This model is a combination of a convolution of
previously observed primary reports combined with current primary reports
(either additive or subtractive). It can optionally be cumulative. See the
documentation of type
for sensible options to cover most use cases and the
returned values of secondary_opts()
for all currently supported options.
secondary_opts(type = "incidence", ...)
type |
A character string indicating the type of observation the secondary reports are. Options include:
|
... |
Overwrite options defined by type. See the returned values for all options that can be passed. |
A list of binary options summarising secondary model used in
estimate_secondary()
. Options returned are cumulative
(should the
secondary report be cumulative), historic
(should a convolution of primary
reported cases be used to predict secondary reported cases),
primary_hist_additive
(should the historic convolution of primary reported
cases be additive or subtractive), current
(should currently observed
primary reported cases contribute to current secondary reported cases),
primary_current_additive
(should current primary reported cases be
additive or subtractive).
Sam Abbott
estimate_secondary
# incidence model
secondary_opts("incidence")
# prevalence model
secondary_opts("prevalence")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.